Method for improving interpolation position accuracy of cutting bed based on improved BP neural network

A BP neural network and interpolation technology, applied in the direction of instruments, computer control, simulators, etc., can solve the problems of discontinuous feed speed, low precision, fluctuations, etc., achieve good nonlinear approximation ability, fast convergence speed, interpolation Complement the effect of high precision
CN110244658AActive Publication Date: 2019-09-17ZHEJIANG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ZHEJIANG UNIV OF TECH
Publication Date
2019-09-17

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Abstract

The present invention discloses a method for improving interpolation position accuracy of a cutting bed based on an improved BP neural network. Parameters of a current node are input into a trained BP neural network interpolation model to obtain predicted values of the node parameters output by the BP neural network interpolation model. The predicted values of the node parameters output by the BP neural network interpolation model are substituted into a B-spline curve to obtain a predicted interpolation node. The deviation between the predicted interpolation node and the actual interpolation node and the corresponding feedback compensation output are calculated. The feedback compensation output is compared with an original machining trajectory curve; the node parameters for the next interpolation are optimized and predicted with the Newton path searching method; the predicted node parameters are substituted into the fitted B-spline curve to obtain the actual interpolation node; and the interpolation operation is performed. The method of the invention has the advantages of good nonlinear approximation ability, high interpolation precision and fast convergence speed.
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Description

technical field

[0001] The present invention relates to the technical field of industrial automation numerical control, and especially designs a method for improving the interpolation position accuracy of a cutting bed based on an improved BP neural network. Aiming at the problem of low interpolation accuracy, a momentum factor is added, and feedback correction is used to improve the BP neural network to improve the cutting accuracy. Bed interpolation position accuracy. Background technique

[0002] In recent years, with the introduction of "Industry 4.0" in my country, traditional industries have begun to transform into intelligent industries, and the control objects and control processes of industrial production have become more and more complicated. The requirement of accuracy is getting higher and higher, which makes it difficult for the original control method to meet the requirements.

[0003] Interpolation calculation is to input basic data to the CNC system (such as ...

Claims

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